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color-and-accessibility

Evaluate scientific figure color accessibility against WCAG 2.1 standards.

6|2|Updated Jun 11, 2026
Search Tags:#scientific visualization#accessibility audit#color accessibility#figure design#colorblind simulation
One-click install
npx skills add https://github.com/pradyumnasagar/open-research-skills --skill color-and-accessibility
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: color-and-accessibility
Source: https://github.com/pradyumnasagar/open-research-skills/tree/main/skills/scientific-visualization/color-and-accessibility
Command: npx skills add https://github.com/pradyumnasagar/open-research-skills --skill color-and-accessibility

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps researchers create scientific figures that are colorblind-friendly and accessible, ensuring clarity and inclusivity in data representation.

Core Features & Use Cases

  • Color Palette Selection: Provides guidelines for choosing perceptually uniform palettes.
  • Accessibility Audit: Simulates color vision deficiencies and checks contrast ratios.
  • Redundant Encoding: Recommends additional encoding methods like shapes and labels for accessibility.
  • Use Case: A researcher wants to create a figure for a journal submission that must be accessible to all readers, including those with color vision deficiencies.

Quick Start

Use the color-and-accessibility skill to analyze the color accessibility of your figure 'figure1.png'.

Frequently Asked Questions about color-and-accessibility

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if my scientific figures are colorblind-friendly?▼

Redundant encoding in figure design involves adding shapes, patterns, or direct labels alongside colors to convey information. This ensures that scientific figures remain accessible and readable even when color vision deficiencies prevent users from distinguishing the primary color palette.

How do I make my research publication figures meet WCAG 2.1 accessibility standards?▼

Yes, simulating color vision deficiencies helps identify inaccessible color palettes in scientific visualization. By auditing your figure design and checking contrast ratios, you can select perceptually uniform palettes that maintain clarity for all readers before journal submission.

What is redundant encoding in figure design and when do I need it?▼

Redundant encoding in figure design involves adding shapes, patterns, or direct labels alongside colors to convey information. This ensures that scientific figures remain accessible and readable even when color vision deficiencies prevent users from distinguishing the primary color palette.

Can I audit contrast ratios in my scientific figures for accessibility compliance?▼

To select a perceptually uniform color palette for scientific visualization, use guidelines that evaluate accessibility and color contrast. This ensures your figure design remains distinguishable and compliant with accessibility best practices for colorblind users.

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